考虑热负荷二维可控性的微网热电协调调度
发布时间：2018-10-17 11:59
【摘要】：考虑到区域内用户的热、电需求,近年来以微型燃气轮机为核心的热电联供系统在微网中得到广泛应用。如何协调调度微网的供热、供电,是提高可再生能源吸纳率、降低微网热电联供成本的关键。文中从用户供热舒适度的模糊性、微网供热系统的热惯性角度考虑,提出采用室内热舒适度指标将热负荷需求由传统的曲线转换为区间,从而使热负荷在各时间点上具有弹性;同时以自回归滑动平均(ARMA)模型描述供热系统多时段间的耦合关系,使供热量在时间轴上具有一定的可调节性。文中将上述两个特性统称为热负荷的二维可控性。算例分析了考虑热负荷二维可控性后,微网在孤网/并网运行时微型燃气轮机运行平稳性、弃风/光、购/售电量等方面,结果显示所述方法可有效减少热—电刚性耦合,为实现微网中热—电的时间平移和优化匹配提供了一种新思路。
[Abstract]:Considering the heat and electricity demand of the users in the area, the heat and power cogeneration system with micro gas turbine as the core has been widely used in the micro grid in recent years. How to coordinate and dispatch the heating and power supply of microgrid is the key to increase the absorption rate of renewable energy and reduce the cost of microgrid cogeneration. Considering the fuzziness of heating comfort of users and the thermal inertia of micro-grid heating system, this paper puts forward that the indoor thermal comfort index is used to convert the heat load demand from traditional curve to interval, so that the heat load has elasticity at every time point. At the same time, the autoregressive moving average (ARMA) model is used to describe the coupling relationship between multiple time periods in the heating system, which makes the heat supply on the time axis adjustable to a certain extent. In this paper, the above two characteristics are referred to as the two-dimensional controllability of heat load. The calculation results show that the proposed method can effectively reduce the thermoelectric rigid coupling when considering the two-dimensional controllability of heat load, the microgrid can operate smoothly, abandon wind / light, and purchase / sell electricity in the isolated / grid-connected operation of the micro gas turbine, and the results show that the proposed method can effectively reduce the thermoelectric rigid coupling. It provides a new way to realize the time translation and optimal matching of thermoelectricity in microgrid.
【作者单位】： 浙江大学电气工程学院;国网重庆市电力公司;香港理工大学电机工程学系;国网浙江省电力公司经济技术研究院;
【基金】：国家重点研发计划资助项目(2016YFB0901104)~~
【分类号】：TM73
[Abstract]:Considering the heat and electricity demand of the users in the area, the heat and power cogeneration system with micro gas turbine as the core has been widely used in the micro grid in recent years. How to coordinate and dispatch the heating and power supply of microgrid is the key to increase the absorption rate of renewable energy and reduce the cost of microgrid cogeneration. Considering the fuzziness of heating comfort of users and the thermal inertia of micro-grid heating system, this paper puts forward that the indoor thermal comfort index is used to convert the heat load demand from traditional curve to interval, so that the heat load has elasticity at every time point. At the same time, the autoregressive moving average (ARMA) model is used to describe the coupling relationship between multiple time periods in the heating system, which makes the heat supply on the time axis adjustable to a certain extent. In this paper, the above two characteristics are referred to as the two-dimensional controllability of heat load. The calculation results show that the proposed method can effectively reduce the thermoelectric rigid coupling when considering the two-dimensional controllability of heat load, the microgrid can operate smoothly, abandon wind / light, and purchase / sell electricity in the isolated / grid-connected operation of the micro gas turbine, and the results show that the proposed method can effectively reduce the thermoelectric rigid coupling. It provides a new way to realize the time translation and optimal matching of thermoelectricity in microgrid.
【作者单位】： 浙江大学电气工程学院;国网重庆市电力公司;香港理工大学电机工程学系;国网浙江省电力公司经济技术研究院;
【基金】：国家重点研发计划资助项目(2016YFB0901104)~~
【分类号】：TM73
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